Exploring the Age:
The most interesting attribute I found is ‘Age’, I wanted to explore which age groups has been mostly involved in the crimes. I have started exploring with initial assumption as ‘The age group 21-29 may be more frequently involved in crimes’.
I found that there were 503 missing ages and there were 81 different age groups in the dataset, I have ignored all the missing values and converted this continuous variable into categorical variable by introducing a new variable ‘age-groups’.
So, upon the investigation I found that the age group ‘31-35’ is mostly involved in the crime/victim. The other age groups included are ‘21- 25’ , ‘26- 30’ and ‘36- 40’.